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Proceedings Paper

Detection of land cover changes by compound classification of multitemporal images
Author(s): Sebastiano Bruno Serpico; Fabio Roli; Lorenzo Bruzzone
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Paper Abstract

In this paper the problem of detecting land cover changes by using multitemporal remote sensing images is addressed. An approach aimed to explicitly identify what kind of land cover transition has actually taken place in an area proposed. This approach is based on the compound classification of multitemporal images. In particular, a simple model to represent the probabilities of transition is exploited to strongly simplify the compound classification task. The effectiveness of the proposed approach is confirmed by experimental results obtained by using remote sensing images containing simulated land cover transitions.

Paper Details

Date Published: 17 November 1995
PDF: 8 pages
Proc. SPIE 2579, Image and Signal Processing for Remote Sensing II, (17 November 1995); doi: 10.1117/12.226834
Show Author Affiliations
Sebastiano Bruno Serpico, Univ. di Genova (Italy)
Fabio Roli, Univ. di Genova (Italy)
Lorenzo Bruzzone, Univ. di Genova (Italy)

Published in SPIE Proceedings Vol. 2579:
Image and Signal Processing for Remote Sensing II
Jacky Desachy, Editor(s)

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